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25 de junyHack in Hire
Madrid, ES
Data Scientist
Hack in Hire · Madrid, ES
. Cloud Coumputing Machine Learning
We’re hiring a Data Scientist
Location: Madrid / Hybrid
Salary: from 45.000 €
We are looking for a talented and enthusiastic Data Scientist to join our clients Team at their Hubs in Spain.
You will join our client's Global Threat Management (GTM) team, a central capability within the CISO domain that focuses on intelligence driven, proactive defence. The team works across geographies and disciplines to anticipate emerging threats, investigate advanced attack scenarios, and continuously improve detection and defensive posture. Collaboration, communication, ownership, and impact are core to how we work.
Your key responsibilities
As a Data Scientist in Cyber Threat Management, you will:
- Design and develop advanced analytics, machine learning, and AI assisted models to support cyber threat identification, prioritisation, and investigation.
- Transform large scale security, threat intelligence, and telemetry data into actionable insights for threat hunters and decision makers.
- Build and maintain data driven threat models that link adversary behaviour, vulnerabilities, and exposure.
- Apply automation and AI techniques to accelerate threat analysis, pattern discovery, and hypothesis testing.
- Collaborate with cyber threat hunters and detection teams to operationalise analytics into real world security use cases.
- Communicate complex analytical outcomes in a clear, structured, and decision oriented way for technical and non technical stakeholders.
What are we looking for?
Do you want to know if this job is made for you? These are some of the qualities that we value the most for this role. And if the shoe fits… don't hesitate to apply!
- Translate complex cyber threat problems into data driven solutions.
- Apply data science, machine learning, or AI in a practical, outcome focused way.
- Work confidently with large, diverse, and imperfect datasets.
- Partner effectively with cyber security experts to deliver real operational impact.
- Balance innovation with governance, quality, and explainability.
- Communicate insights clearly and influence decisions through data.
- A degree in Data Science, Computer Science, Mathematics, Engineering, or a related field, or equivalent practical experience in applied data science.
- Relevant certifications in data science, machine learning, cloud platforms, or cyber security (e.g. AI/ML, cloud, or security analytics related) are an advantage.
- English level - B2
Hiring process
Fully online:
- A filter from Hack In Hire.
- An interview with client's HR.
- A technical interview with the team.
📩 Interested? Apply via LinkedIn or submit your CV via hackinhire.com